(IT) Designing and implementing big data technologies through the application of high performance computing, large scale data integration and emerging analytical platforms.
The Data Analytics Test Engineer is responsible for ensuring the quality, integrity, and reliability of data across the organisation’s enterprise data platform. The role focuses on designing, developing, and executing robust testing strategies for data pipelines, data models, and analytical solutions. It also involves translating business needs into clear technical requirements, driving automation, strengthening data quality assurance practices, and enabling accurate, trusted insights that support informed business decision making.
Champion data quality through profiling, completeness checks, reconciliation, and anomaly detection.
Lead end-to-end testing and UAT including scenario planning, execution, defect management, and audit ready sign‑off.
Validate ETL/ELT pipelines across cloud platforms, ensuring accuracy of ingestion, transformations, and data flows.
Maintain high quality documentation including test cases, data dictionaries, mapping specifications, and validation rules.
Collaborate with cross functional teams such as Data Engineers, Product Owners, BAs, and Reporting teams.
Technical Qualifications and Experience
5+ years' experience across data analysis, data validation, data quality, and testing within modern data platforms.
Hands-on experience with Databricks including Spark, Delta Lake, notebooks, workflows, and Lakehouse environments or equivalent modern data platforms
Skills That Will Help You Succeed
